Python preprocessor.random_crop_to_aspect_ratio方法代碼示例

本文整理匯總了Python中object_detection.core.preprocessor.random_crop_to_aspect_ratio方法的典型用法代碼示例。如果您正苦於以下問題：Python preprocessor.random_crop_to_aspect_ratio方法的具體用法？Python preprocessor.random_crop_to_aspect_ratio怎麽用？Python preprocessor.random_crop_to_aspect_ratio使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類object_detection.core.preprocessor的用法示例。

在下文中一共展示了preprocessor.random_crop_to_aspect_ratio方法的6個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: testRandomCropToAspectRatio

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_to_aspect_ratio [as 別名]
def testRandomCropToAspectRatio(self):
    preprocessing_options = [(preprocessor.normalize_image, {
        'original_minval': 0,
        'original_maxval': 255,
        'target_minval': 0,
        'target_maxval': 1
    })]

    images = self.createTestImages()
    boxes = self.createTestBoxes()
    labels = self.createTestLabels()
    tensor_dict = {
        fields.InputDataFields.image: images,
        fields.InputDataFields.groundtruth_boxes: boxes,
        fields.InputDataFields.groundtruth_classes: labels
    }
    tensor_dict = preprocessor.preprocess(tensor_dict, preprocessing_options)
    images = tensor_dict[fields.InputDataFields.image]

    preprocessing_options = [(preprocessor.random_crop_to_aspect_ratio, {
        'aspect_ratio': 2.0
    })]
    cropped_tensor_dict = preprocessor.preprocess(tensor_dict,
                                                  preprocessing_options)

    cropped_images = cropped_tensor_dict[fields.InputDataFields.image]
    cropped_boxes = cropped_tensor_dict[
        fields.InputDataFields.groundtruth_boxes]
    boxes_shape = tf.shape(boxes)
    cropped_boxes_shape = tf.shape(cropped_boxes)
    images_shape = tf.shape(images)
    cropped_images_shape = tf.shape(cropped_images)

    with self.test_session() as sess:
      (boxes_shape_, cropped_boxes_shape_, images_shape_,
       cropped_images_shape_) = sess.run([
           boxes_shape, cropped_boxes_shape, images_shape, cropped_images_shape
       ])
      self.assertAllEqual(boxes_shape_, cropped_boxes_shape_)
      self.assertEqual(images_shape_[1], cropped_images_shape_[1] * 2)
      self.assertEqual(images_shape_[2], cropped_images_shape_[2])

開發者ID:ringringyi，項目名稱:DOTA_models，代碼行數:43，代碼來源:preprocessor_test.py

示例2: test_build_random_crop_to_aspect_ratio

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_to_aspect_ratio [as 別名]
def test_build_random_crop_to_aspect_ratio(self):
    preprocessor_text_proto = """
    random_crop_to_aspect_ratio {
      aspect_ratio: 0.85
      overlap_thresh: 0.35
    }
    """
    preprocessor_proto = preprocessor_pb2.PreprocessingStep()
    text_format.Merge(preprocessor_text_proto, preprocessor_proto)
    function, args = preprocessor_builder.build(preprocessor_proto)
    self.assertEqual(function, preprocessor.random_crop_to_aspect_ratio)
    self.assert_dictionary_close(args, {'aspect_ratio': 0.85,
                                        'overlap_thresh': 0.35})

開發者ID:ringringyi，項目名稱:DOTA_models，代碼行數:15，代碼來源:preprocessor_builder_test.py

示例3: testRandomCropToAspectRatioWithCache

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_to_aspect_ratio [as 別名]
def testRandomCropToAspectRatioWithCache(self):
    preprocess_options = [(preprocessor.random_crop_to_aspect_ratio, {})]
    self._testPreprocessorCache(preprocess_options,
                                test_boxes=True,
                                test_masks=False,
                                test_keypoints=False)

開發者ID:ahmetozlu，項目名稱:vehicle_counting_tensorflow，代碼行數:8，代碼來源:preprocessor_test.py

示例4: testRandomCropToAspectRatio

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_to_aspect_ratio [as 別名]
def testRandomCropToAspectRatio(self):
    images = self.createTestImages()
    boxes = self.createTestBoxes()
    labels = self.createTestLabels()
    weights = self.createTestGroundtruthWeights()
    tensor_dict = {
        fields.InputDataFields.image: images,
        fields.InputDataFields.groundtruth_boxes: boxes,
        fields.InputDataFields.groundtruth_classes: labels,
        fields.InputDataFields.groundtruth_weights: weights,
    }
    tensor_dict = preprocessor.preprocess(tensor_dict, [])
    images = tensor_dict[fields.InputDataFields.image]

    preprocessing_options = [(preprocessor.random_crop_to_aspect_ratio, {
        'aspect_ratio': 2.0
    })]
    cropped_tensor_dict = preprocessor.preprocess(tensor_dict,
                                                  preprocessing_options)

    cropped_images = cropped_tensor_dict[fields.InputDataFields.image]
    cropped_boxes = cropped_tensor_dict[
        fields.InputDataFields.groundtruth_boxes]
    boxes_shape = tf.shape(boxes)
    cropped_boxes_shape = tf.shape(cropped_boxes)
    images_shape = tf.shape(images)
    cropped_images_shape = tf.shape(cropped_images)

    with self.test_session() as sess:
      (boxes_shape_, cropped_boxes_shape_, images_shape_,
       cropped_images_shape_) = sess.run([
           boxes_shape, cropped_boxes_shape, images_shape, cropped_images_shape
       ])
      self.assertAllEqual(boxes_shape_, cropped_boxes_shape_)
      self.assertEqual(images_shape_[1], cropped_images_shape_[1] * 2)
      self.assertEqual(images_shape_[2], cropped_images_shape_[2])

開發者ID:ahmetozlu，項目名稱:vehicle_counting_tensorflow，代碼行數:38，代碼來源:preprocessor_test.py

示例5: test_build_random_crop_to_aspect_ratio

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_to_aspect_ratio [as 別名]
def test_build_random_crop_to_aspect_ratio(self):
    preprocessor_text_proto = """
    random_crop_to_aspect_ratio {
      aspect_ratio: 0.85
      overlap_thresh: 0.35
      clip_boxes: False
    }
    """
    preprocessor_proto = preprocessor_pb2.PreprocessingStep()
    text_format.Merge(preprocessor_text_proto, preprocessor_proto)
    function, args = preprocessor_builder.build(preprocessor_proto)
    self.assertEqual(function, preprocessor.random_crop_to_aspect_ratio)
    self.assert_dictionary_close(args, {'aspect_ratio': 0.85,
                                        'overlap_thresh': 0.35,
                                        'clip_boxes': False})

開發者ID:ahmetozlu，項目名稱:vehicle_counting_tensorflow，代碼行數:17，代碼來源:preprocessor_builder_test.py

示例6: testRandomCropToAspectRatio

# 需要導入模塊: from object_detection.core import preprocessor [as 別名]
# 或者: from object_detection.core.preprocessor import random_crop_to_aspect_ratio [as 別名]
def testRandomCropToAspectRatio(self):
    images = self.createTestImages()
    boxes = self.createTestBoxes()
    labels = self.createTestLabels()
    tensor_dict = {
        fields.InputDataFields.image: images,
        fields.InputDataFields.groundtruth_boxes: boxes,
        fields.InputDataFields.groundtruth_classes: labels,
    }
    tensor_dict = preprocessor.preprocess(tensor_dict, [])
    images = tensor_dict[fields.InputDataFields.image]

    preprocessing_options = [(preprocessor.random_crop_to_aspect_ratio, {
        'aspect_ratio': 2.0
    })]
    cropped_tensor_dict = preprocessor.preprocess(tensor_dict,
                                                  preprocessing_options)

    cropped_images = cropped_tensor_dict[fields.InputDataFields.image]
    cropped_boxes = cropped_tensor_dict[
        fields.InputDataFields.groundtruth_boxes]
    boxes_shape = tf.shape(boxes)
    cropped_boxes_shape = tf.shape(cropped_boxes)
    images_shape = tf.shape(images)
    cropped_images_shape = tf.shape(cropped_images)

    with self.test_session() as sess:
      (boxes_shape_, cropped_boxes_shape_, images_shape_,
       cropped_images_shape_) = sess.run([
           boxes_shape, cropped_boxes_shape, images_shape, cropped_images_shape
       ])
      self.assertAllEqual(boxes_shape_, cropped_boxes_shape_)
      self.assertEqual(images_shape_[1], cropped_images_shape_[1] * 2)
      self.assertEqual(images_shape_[2], cropped_images_shape_[2])

開發者ID:cagbal，項目名稱:ros_people_object_detection_tensorflow，代碼行數:36，代碼來源:preprocessor_test.py

注：本文中的object_detection.core.preprocessor.random_crop_to_aspect_ratio方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。